Industrial equipment optimization

Our IoT-driven solution enhanced equipment efficiency by monitoring air compressors, transformers, and diesel generators in real time, improving performance and reducing downtime.

Client:

Ilijin

Category:

Electronics

Location:

Noida

Date:

Aug 2024
01. Overview

A leading manufacturer in precision wheel bearings faced challenges in optimizing the performance of critical industrial equipment, including air compressors, transformers, and diesel generators—key components essential to daily operations. Inefficiencies in these systems led to unplanned downtime and increased operational costs. To ensure smooth equipment functioning, the manufacturer required a comprehensive monitoring system capable of delivering real-time insights and predictive maintenance capabilities.

PredCo proposed an IoT-based solution, featuring condition monitoring to assess the operational health of these vital industrial assets. The system was specifically tailored to monitor the performance and condition of air compressors, transformers, and diesel generators, aiming to reduce downtime, boost energy efficiency, and extend equipment life.

02. Proposed Solution

PredCo designed and implemented an Industrial Equipment Optimization system that combines IoT sensors with advanced condition monitoring algorithms, offering the following key components:

  • IoT Sensor Deployment for Real-Time Data Collection:
    Sensors were strategically installed on air compressors, transformers, and diesel generators. These sensors continuously gathered data on parameters such as pressure levels, temperature, voltage, vibration, and operational load. This data enabled early detection of anomalies, preventing potential failures before they occurred.
  • Condition Monitoring for Predictive Maintenance:
    Data collected by the sensors was processed through PredCo's condition monitoring platform, which used machine learning models to analyze equipment health. This provided predictive maintenance insights, allowing early identification of wear or inefficiencies. The platform’s algorithms could also forecast issues, such as pressure drops in compressors, transformer overheating, or fuel inefficiencies in diesel generators, well in advance of possible downtime.
  • Remote Monitoring Dashboard:
    A centralized dashboard was created for remote monitoring of all critical equipment. This dashboard provided real-time visualizations of equipment status, including performance trends, thresholds, and fault indicators, accessible from anywhere. Maintenance teams could respond swiftly to issues and make operational adjustments as needed.
  • Energy Efficiency Optimization:
    By continuously tracking performance, the system identified opportunities to optimize energy usage. For instance, air compressors were monitored to minimize pressure drops, and transformers were checked for excessive heat generation, reducing energy losses.
03. Benefits
  • Increased Equipment Uptime:
    With real-time monitoring and predictive insights, the manufacturer significantly reduced unplanned downtime. Maintenance teams could address issues proactively, ensuring smoother production line operations.
  • Improved Operational Efficiency:
    The solution provided actionable insights into equipment performance under various operational loads. By optimizing air compressor usage, managing transformer heat loads, and fine-tuning diesel generator fuel efficiency, the manufacturer could streamline operations and reduce inefficiencies.
  • Energy Savings and Cost Reduction:
    Continuous tracking of equipment performance helped identify inefficiencies and energy waste in air compressors and generators. This led to reduced energy consumption, contributing to lower operating costs.
  • Proactive Maintenance:
    The condition monitoring system enabled a shift from reactive to proactive maintenance. With data-driven insights into equipment health, maintenance could be scheduled during planned downtimes, lowering emergency repair costs and extending equipment lifespan.

Recent Projects